code: def _convert_state_dict(state_dict):
      converted = {}
      for k, v in state_dict.items():
          k = _map_key(k)
          if k is not None:
              converted[k] = v
      return converted
  
file_path: audio/src/torchaudio/models/wav2vec2/utils/import_fairseq.py
imports: import re
  from torch.nn import Module
  from ..model import wav2vec2_model, Wav2Vec2Model
label_desc: Use image node_id 3 for calling a global function with example usage: _convert_state_dict(state_dict) and returns: converted